NeuroVD

NeuroVD is a term used in neuroscience and related fields to describe a class of tools and concepts focused on neural data visualization and interpretation. In its broad sense, neuroVD refers to systems that collect neural signals from modalities such as EEG, intracranial recordings, or functional imaging and convert them into visual representations that are interactive and interpretable for researchers and clinicians. The acronym VD commonly stands for visualization and display, or visualization and decoding, and there is no single canonical definition; the term is used differently across sources.

Applications include research into brain activity patterns, clinical monitoring of neurological states, and brain-computer interface workflows where visual feedback supports decision making or control. In education, neuroVD platforms can help convey complex temporal and spatial neural dynamics to students.

Technically, neuroVD frameworks typically combine data acquisition, preprocessing, and visualization components with analysis modules such as time-frequency analysis, dimensionality reduction, and real-time rendering. Interoperability and data provenance are frequently emphasized, given the cross-modality nature of neural data.

Variants and terminology: because neuroVD is not standardized, some authors treat it as a specific software package or hardware device, while others use it as a generic label for any neural data visualization system. The term thus has a heterogeneous usage and evolving scope.